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The function `summary_glu` is a wrapper for the base function `summary()`. Output is a tibble object with subject id and the summary value: Minimum, 1st Quantile, Median, Mean, 3rd Quantile and Max.

Usage

summary_glu(data)

Arguments

data

DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.

Value

If a DataFrame object is passed, then a tibble object with a column for subject id and then a column for each summary value is returned. If a vector of glucose values is passed, then a tibble object without the subject id is returned. `as.numeric()` can be wrapped around the latter to output a numeric vector with values in order of Min, 1st Quantile, Median, Mean, 3rd Quantile and Max.

Details

A tibble object with 1 row for each subject, a column for subject id and a column for each of summary values is returned. `NA` glucose values are omitted from the calculation of the summary values.

Examples

data(example_data_1_subject)
summary_glu(example_data_1_subject)
#> # A tibble: 1 × 7
#> # Groups:   id [1]
#>   id         Min. `1st Qu.` Median  Mean `3rd Qu.`  Max.
#>   <fct>     <dbl>     <dbl>  <dbl> <dbl>     <dbl> <dbl>
#> 1 Subject 1    66        99    112  124.       143   276

data(example_data_5_subject)
summary_glu(example_data_5_subject)
#> # A tibble: 5 × 7
#> # Groups:   id [5]
#>   id         Min. `1st Qu.` Median  Mean `3rd Qu.`  Max.
#>   <fct>     <dbl>     <dbl>  <dbl> <dbl>     <dbl> <dbl>
#> 1 Subject 1    66        99    112  124.       143   276
#> 2 Subject 2    90       179    211  218.       253   400
#> 3 Subject 3    60       125    140  154.       173   304
#> 4 Subject 4    50       109    126  130.       149   232
#> 5 Subject 5    66       134    164  175.       211   398